tazza11/connectailab-rl-simba-v4-teacher

reinforcement-learning model by tazza11

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개발자 Jay · CONNECT AI LAB · 회사의 가치 {"이익": 1.0, "고객 만족": 1.0, "위험": 1.0} CONNECT TYCOON의 회사를 한 달(영업일 20일) 동안 운영하는 전전두엽입니다. 인력 배치 · 재고 발주 · 마케팅 · 고객센터 · 환불 · 보안을 판단하고, 모든 판단을 JEV(typesafe/jev-1.13)와 같은 형식으로 답합니다. 규칙 사장을 먼저 따라 배우고(지도학습), 회사의 가치로 받은 보상으로 판단을 고쳤습니다(PPO). 회사 규모(config): {"warehouse": 250.0, "basedemand": 40.0, "unitcost": 1.5, "orderscale": 1.0, "staffbonus": 0, "wage": 0.0,…

tazza11/connectailab-rl-simba-v4-teacher on Hugging Face A short preview, not the full document.

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Model overview

tazza11/connectailab-rl-simba-v4-teacher is a reinforcement-learning model repository published by tazza11 on Hugging Face. The source reports the numpy library.

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Model facts

Task: reinforcement-learning
Library: numpy
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-27T06:42:27.000Z
Last modified: 2026-10-27T06:42:32.000Z

Compatibility and lineage

Reported languages: ko

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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